docstr: Initialize weight coefficients.
docstr_tok: ["Initialize","weight","coefficients","."]
code: def _init_params(
      self,
      weights_shape,
      bias_shape=(1,),
      random_seed=None,
      dtype="float64",
      scale=0.01,
      bias_const=0.0,
  ):
      """Initialize weight coefficients."""
      rgen = np.random.RandomState(random_seed)
      w = rgen.normal(loc=0.0, scale=scale, size=weights_shape)
      b = np.zeros(shape=bias_shape)
      if bias_const != 0.0:
          b += bias_const
      return b.astype(dtype), w.astype(dtype)
  
file_path: mlxtend/mlxtend/_base/_iterative_model.py
imports: from sys import stderr
  from time import time
  import numpy
label_desc: Use image node_id 6 for calling the _IterativeModel obj's underlying member method code with example usage: obj._init_params(weights_shape, bias_shape, random_seed, dtype, scale, bias_const) and returns: b,  w